In this video I discuss how to evaluate a binary classification model such as a neural network, XGBoost, or traditional statistical model. I discuss the relationship between sensitivity, specificity, recall, precision, and ROC/AUC.

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To participate in the giveaway, see this video:,    • Final Plans for NVIDIA GTC 2022  

1. Register for GTC 2022, I would appreciate it if you use this link:
Registration Link: https://nvda.ws/3vNRiLb
(please use this one)

2. Setup your schedule for the conference, choose the sessions you want to view.

3. Next week, take a screen shot of the stream (either livestream or recorded) and email that to me. Please specify if you could allow shipping to the USA. I can only ship the GPU in the USA (and territories), the DLI credits can be sent anywhere.

Email Address to Use: [email protected]

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NVIDIA Deep Learning Institute: https://www.nvidia.com/enus/training/

My picks:

Keynote
https://www.nvidia.com/gtc/sessionca...
Roundtable
https://www.nvidia.com/gtc/sessionca...
CUDA
https://www.nvidia.com/gtc/sessionca...
https://www.nvidia.com/gtc/sessionca...
Career
https://www.nvidia.com/gtc/sessionca...
AWS GPU
https://www.nvidia.com/gtc/sessionca...
PyTorch Production
https://www.nvidia.com/gtc/sessionca...